摘要:
神经系统以时空编码形式刻画外部刺激信息,针刺作为对穴位的机械作用可以等效为对神经系统的一种外部刺激.为了揭示神经系统如何表达和传递针刺作用,本文设计了不同频率的针刺动物实验,即在针刺大鼠足三里穴位时获取脊髓背根神经节电信号.首先,经过数据预处理获得单神经元动作电位序列并转化为点过程序列.其次,应用广义线性模型(GLM)编码针刺作用,产生模拟的神经放电序列.另外,在模型基础上应用贝叶斯解码,根据神经放电序列重构针刺随时间变化的位移波形.最后,基于时间重标度理论应用分位数分位数(Q-Q)图方法检验编码模型与点过程数据的一致性.结果表明, GLM能够模拟针刺神经编码,并正确解码针刺信息.本文为针刺研究提供了新的视角,对于构建神经系统与机器接口以改善针刺的临床研究具有潜在意义.
Abstract:
Neural system can characterize the information evoked in external stimulations by spatiotemporal encoding. Acupunctureas, as a mechanical actionis equivalent to an external stimulus to the neural system. In order to decipher how neural systems represent and transmit acupuncture information, experiments are designed such that different frequencies of manual acupuncture (MA) manipulations can be given to ’Zusanli’ point of an experimental rat, and the induced electrical signals in spinal dorsal root ganglion are detected and recorded. First, the spike trains are obtained by data preprocessing and transformed into point process trains. Then a generalized linear model is introduced to encode the acupuncture information and produce the simulated neural spike train. In addition, a Bayesian decoding algorithm is used to reconstruct the displacement oscillograms of the acupuncture needle from the neural point process spike train. Finally, the quantile-quantile (Q-Q) plot based on the time-rescaling theorem is used to evaluate the agreement between the encoding model and the point process data. Results prove to be valid based on statistical analysis. These studies have offered new insights into neural processing underlying acupuncture and have implementations for constructing the interface between neural systems and machines and improving the clinical study.
首页
登录
注册
下载: